market_hacker

6 ms·

1. 1.▲
   by market_hacker 9mo ago

   i just implemented a project in elixir with LLM support and would never have considered that before. (i had never used elixir before) - So who knows maybe it will help adoption?
2. 2.▲
   by market_hacker 5y ago

   Do any JAX experts know if there is an equivalent to https://captum.ai/ - a model interpretability library for pytorch? In particular i want to be able to measure feature importance on both inputs and internal layers on a s
3. 3.▲
   by market_hacker 6y ago

   you probably know this but you're building a nice labelled training set for machine learning to help you automate the process later
4. 4.▲
   by market_hacker 11y ago

   maybe i'm missing the point, but i can't see the advantage of using this over pandas
5. 5.▲
   by market_hacker 13y ago

   I think there may be a problem with this kind of analysis - it seems to me that the "riskier" plays (2 point conversion, going for it, etc.) - are more likely attempted when coaches think they will work - not randomly. To really d
6. 6.▲
   by market_hacker 14y ago

   no. that would only work if every traded product on the planet was in a single matching engine.